Damien Teney

Orcid: 0000-0003-2130-6650

According to our database1, Damien Teney authored at least 52 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Neural Redshift: Random Networks are not Random Functions.
CoRR, 2024

Bi-directional Training for Composed Image Retrieval via Text Prompt Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines.
CoRR, 2023

Shortcut Bias Mitigation via Ensemble Diversity Using Diffusion Probabilistic Models.
CoRR, 2023

ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning.
CoRR, 2023

Leveraging Diffusion Disentangled Representations to Mitigate Shortcuts in Underspecified Visual Tasks.
CoRR, 2023

Learning Diverse Features in Vision Transformers for Improved Generalization.
CoRR, 2023

Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup.
CoRR, 2023

Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder.
CoRR, 2023

A Symbolic Framework for Systematic Evaluation of Mathematical Reasoning with Transformers.
CoRR, 2023

ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering.
CoRR, 2022

SelecMix: Debiased Learning by Contradicting-pair Sampling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Active Learning by Feature Mixing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Vision-Language Pretraining: Current Trends and the Future.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021
Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge.
CoRR, 2021

Unshuffling Data for Improved Generalization in Visual Question Answering.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Visual Question Answering with Prior Class Semantics.
CoRR, 2020

Unshuffling Data for Improved Generalization.
CoRR, 2020

On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Counterfactual Vision-and-Language Navigation: Unravelling the Unseen.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Medical Data Inquiry Using a Question Answering Model.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision.
Proceedings of the Computer Vision - ECCV 2020, 2020

Counterfactual Vision and Language Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
On Incorporating Semantic Prior Knowlegde in Deep Learning Through Embedding-Space Constraints.
CoRR, 2019

Actively Seeking and Learning From Live Data.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Visual Question Answering as a Meta Learning Task.
Proceedings of the Computer Vision - ECCV 2018, 2018

Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Visual Question Answering: A Tutorial.
IEEE Signal Process. Mag., 2017

Visual question answering: A survey of methods and datasets.
Comput. Vis. Image Underst., 2017

Bottom-Up and Top-Down Attention for Image Captioning and VQA.
CoRR, 2017

Graph-Structured Representations for Visual Question Answering.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Zero-Shot Visual Question Answering.
CoRR, 2016

Learning to Extract Motion from Videos in Convolutional Neural Networks.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
A hierarchical Bayesian network for face recognition using 2D and 3D facial data.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Hand parsing for fine-grained recognition of human grasps in monocular images.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Learning similarity metrics for dynamic scene segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Multiview feature distributions for object detection and continuous pose estimation.
Comput. Vis. Image Underst., 2014

Segmentation of Dynamic Scenes with Distributions of Spatiotemporally Oriented Energies.
Proceedings of the British Machine Vision Conference, 2014

2013
Probabilistic Models of Visual Appearance For Object Identity, Class, and Pose Inference.
PhD thesis, 2013

Modeling Pose/Appearance Relations for Improved Object Localization and Pose Estimation in 2D images.
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

Continuous Pose Estimation in 2D Images at Instance and Category Levels.
Proceedings of the Tenth Conference on Computer and Robot Vision, 2013

2012
Generalized Exemplar-Based Full Pose Estimation from 2D Images without Correspondences.
Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012

Sampling-Based Multiview Reconstruction without Correspondences for 3D Edges.
Proceedings of the 2012 Second International Conference on 3D Imaging, 2012

2011
Probabilistic Object Models for Pose Estimation in 2D Images.
Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011


  Loading...